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Bridging the Utilitarian-Hedonic Divide in Crowdsourcing Applications

Authors: Melenhorst, Mark; Novak, Jasminko; Micheel, Isabel; Larson, Martha; Boeckle, Martin;

Bridging the Utilitarian-Hedonic Divide in Crowdsourcing Applications

Abstract

This paper introduces a novel perspective on the gamification of crowdsourcing tasks by conceptualizing it as the introduction of hedonic quality into the solution of utilitarian tasks and into the design of corresponding systems. We demonstrate how such a conceptualization can enable crowdsourcing applications to involve new kinds of crowds in everyday contexts that cannot be reached with existing models. We illustrate its application with the design of TrendRack, a gamified crowdsourcing application in the domain of fashion. We then discuss the results from a first evaluation, suggesting successful engagement of fashion customers in everyday contexts.

Keywords

European Commission

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Green